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Abstract: "The usual model for the underlying process of a discrete-event stochastic system is the generalized semi-Markov process (GSMP). A GSMP is defined in

Discrete events simulations can be modeled by generalized semi-Markov processes (GSMP's). Our goal is to estimate characteristics of the stationary distribution

At first there was the Markov property. The theory of stochastic processes, which can be considered as an exten sion of probability theory, allows the modeling

This book is the result of the International Symposium on Semi Markov Processes and their Applications held on June 4-7, 1984 at the Universite Libre de Bruxell

This bibliography lists thirty-one technical reports. The principal topics covered in this research were condition limit theorems for Markov chains, variance re